Video Lectures and Slides

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ADCME has its own YouTube channel ADCME!

Slides

• Physics Based Machine Learning for Inverse Problems (60 Pages)

• Automatic Differentiation for Scientific Computing (51 Pages)

• Deep Neural Networks and Inverse Modeling (50 Pages)

• Subsurface Inverse Modeling with Physics Based Machine Learning (35 Pages)

• Calibrating Multivariate Lévy Processes with Neural Networks

• ADCME.jl – Physics Based Machine Learning for Inverse Problems (JuliaCN 2020, 40 Pages)

• ADCME – Machine Learning for Computational Engineering (Berkeley/Stanford CompFest)

• Presentation on 09/23/2020 (29 Pages)

• Presentation on 10/01/2020 (40 Pages)

• Presentation on 10/06/2020 (37 Pages)

• Presentation in SMS, Peking University 10/22/2020 (35 Pages)

• Presentation in Berkeley, 11/17/2020 (60 Pages); a relative comprehensive slide, see here (31 Pages) for a short version.

• WCCM 2020 (23 Pages)

• SIAM CSE21 (21 Pages)

• AAAI MLPS 2021 (22 Pages)

• Ph.D. Oral Defense (~50 Pages)

Instruction on Installing ADCME

1. Installing ADCME (Windows)
2. Installing ADCME (MacOS)
3. Installing ADCME (Linux)
4. Getting Started with ADCME

Posters

• SPD-NN Poster

Videos

• ADCME.jl – Physics Based Machine Learning for Inverse Problems (中文)
• Data-Driven Inverse Modeling with Incomplete Observations
• AAAI Conference